生成CNN-BLS的python代码

好的，以下是生成CNN-BLS的Python代码的示例：

import numpy as np
from sklearn.datasets import load_digits
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelBinarizer

digits = load_digits()
X = digits.data
y = digits.target
X -= X.min()
X /= X.max()

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)

labels_train = LabelBinarizer().fit_transform(y_train)
labels_test = LabelBinarizer().fit_transform(y_test)

from cnn_bls import ConvNN_BLS

cnn_bls = ConvNN_BLS(input_shape=(8, 8, 1),
                     n_classes=10,
                     conv_layers=[(6, 5)],
                     hidden_layers=[10],
                     bls_hidden_layers=[],
                     epochs=10,
                     batch_size=10,
                     reg=0.01,
                     verbose=True)

cnn_bls.fit(X_train, labels_train)
print("Accuracy:", cnn_bls.score(X_test, labels_test))